Results 31 to 40 of about 7,261,189 (227)
Online multiple object tracking with enhanced Re‐identification
IET Computer Vision, 2023 In existing online multiple object tracking algorithms, schemes that combine object detection and re‐identification (ReID) tasks in a single model for simultaneous learning have drawn great attention due to their balanced speed and accuracy.
Wenyu Yang +3 more
doaj +1 more source
Development of a multi-object tracking algorithm with untrained features of object matching
Компьютерная оптика, 2023 The problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle.
V.A. Gorbachev, V.F. Kalugin
doaj +1 more source
On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data [PDF]
, 2012 This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real ...
Gning, Amadou +6 more
core +5 more sources
Psychological mechanisms of multiple object tracking
Экспериментальная психологияContext and relevance. The multiple object tracking task is widely used to evaluate professional abilities. In this regard, it is important to understand the underlying processes, as well as the factors contributing to interindividual ...
M.M. Tcepelevich
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Multiple object tracking based on quadratic graph matching
IET Computer Vision, 2023 Recently, with the development of deep‐learning, the performance of multiple object tracking (MOT) algorithm based on deep neural networks has been greatly improved. However, it is still a difficult problem to successfully solve the tracking misalignment
Jiayan Gao, Qi Zou, Hongwei Zhao
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A novel real-time multiple objects detection and tracking framework for different challenges
Alexandria Engineering Journal, 2022 Recently, there was a lot of researches on real-time detection and tracking algorithms, as the frequent use of surveillance cameras and the expansion of its applications, especially in security and surveillance. However, many challenges have emerged that
Nuha H. Abdulghafoor, Hadeel N. Abdullah
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A Sequential Monte Carlo Approach for Extended Object Tracking in the Presence of Clutter [PDF]
, 2011 Extended objects are characterised with multiple measurements originated from ifferent locations of the object surface. This paper presents a novel Sequential Monte Carlo (SMC) approach for extended object tracking in the presence of clutter. The problem
Gning, Amadou +3 more
core +4 more sources
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Multiple Object Tracking via Feature Pyramid Siamese Networks
IEEE Access, 2019 When multiple object tracking (MOT) based on the tracking-by-detection paradigm is implemented, the similarity metric between the current detections and existing tracks plays an essential role. Most of the MOT schemes based on a deep neural network learn
Sangyun Lee, Euntai Kim
doaj +1 more source